h1

h2

h3

h4

h5
h6
001009604 001__ 1009604
001009604 005__ 20251006101401.0
001009604 0247_ $$2ISSN$$a0098-1354
001009604 0247_ $$2ISSN$$a1873-4375
001009604 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-86000599569
001009604 0247_ $$2WOS$$aWOS:001447839500001
001009604 0247_ $$2datacite_doi$$a10.18154/RWTH-2025-03570
001009604 0247_ $$2doi$$a10.1016/j.compchemeng.2025.109085
001009604 037__ $$aRWTH-2025-03570
001009604 041__ $$aEnglish
001009604 082__ $$a660
001009604 1001_ $$0P:(DE-82)1003366$$aBrozos, Christoforos$$b0$$urwth
001009604 245__ $$aPredicting the temperature-dependent CMC of surfactant mixtures with graph neural networks$$honline
001009604 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2025
001009604 300__ $$a[1]-13
001009604 3367_ $$00$$2EndNote$$aJournal Article
001009604 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal
001009604 3367_ $$2BibTeX$$aARTICLE
001009604 3367_ $$2DRIVER$$aarticle
001009604 3367_ $$2DataCite$$aOutput Types/Journal article
001009604 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001009604 536__ $$0G:(DE-82)021000-OAPKF$$aOAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF)$$c021000-OAPKF$$x0
001009604 536__ $$0G:(GEPRIS)441958259$$aDFG project G:(GEPRIS)441958259 - SPP 2331: Maschinelles Lernen in der Verfahrenstechnik. Wissen trifft auf Daten: Interpretierbarkeit, Extrapolation, Verlässlichkeit, Vertrauen (441958259)$$c441958259$$x1
001009604 536__ $$0G:(GEPRIS)466417970$$aDFG project G:(GEPRIS)466417970 - Generatives graph-basiertes maschinelles Lernen für das integrierte Design von Molekülen und Prozessen (466417970)$$c466417970$$x2
001009604 588__ $$aDataset connected to , , , CrossRef, Journals: publications.rwth-aachen.de
001009604 591__ $$aGermany
001009604 7001_ $$0P:(DE-82)IDM04034$$aRittig, Jan Gerald$$b1$$urwth
001009604 7001_ $$aAkanny, Elie$$b2
001009604 7001_ $$aBhattacharya, Sandip$$b3
001009604 7001_ $$aKohlmann, Christina$$b4
001009604 7001_ $$0P:(DE-82)IDM00369$$aMitsos, Alexander$$b5$$eCorresponding author$$urwth
001009604 773__ $$0PERI:(DE-600)1499971-7$$a10.1016/j.compchemeng.2025.109085$$p10908$$tComputers & chemical engineering$$v198$$x0098-1354$$y2025
001009604 8564_ $$uhttps://publications.rwth-aachen.de/record/1009604/files/1009604.pdf$$yOpenAccess
001009604 8767_ $$c100$$d2025-04-28$$eOther$$jDEAL$$v7.00$$x021000-416710$$zServicepauschale
001009604 8767_ $$c2575$$d2025-04-28$$eHybrid-OA$$jDEAL$$v180.25$$x021000-416710
001009604 909CO $$ooai:publications.rwth-aachen.de:1009604$$pOpenAPC_DEAL$$pVDB$$pdnbdelivery$$pdriver$$popenCost$$popen_access$$popenaire
001009604 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)1003366$$aRWTH Aachen$$b0$$kRWTH
001009604 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM04034$$aRWTH Aachen$$b1$$kRWTH
001009604 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM00369$$aRWTH Aachen$$b5$$kRWTH
001009604 9141_ $$y2025
001009604 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
001009604 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001009604 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2024-12-16
001009604 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCOMPUT CHEM ENG : 2022$$d2024-12-16
001009604 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2024-12-16
001009604 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-16
001009604 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2024-12-16
001009604 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-16
001009604 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-16
001009604 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-16
001009604 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001009604 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2024-12-16
001009604 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2024-12-16
001009604 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2024-12-16
001009604 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
001009604 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
001009604 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
001009604 915pc $$0PC:(DE-HGF)0125$$2APC$$aDEAL: Elsevier 09/01/2023
001009604 9201_ $$0I:(DE-82)416710_20140620$$k416710$$lLehrstuhl für Systemverfahrenstechnik$$x0
001009604 9201_ $$0I:(DE-82)080031_20200305$$k080031$$lJARA-CSD (Center for Simulation and Data Science)$$x1
001009604 961__ $$c2025-04-07T09:19:56.626351$$x2025-04-07T09:19:56.626351$$z2025-04-07T09:19:56.626351
001009604 9801_ $$aFullTexts
001009604 980__ $$aAPC
001009604 980__ $$aI:(DE-82)080031_20200305
001009604 980__ $$aI:(DE-82)416710_20140620
001009604 980__ $$aUNRESTRICTED
001009604 980__ $$aVDB
001009604 980__ $$ajournal